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Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached?
Regular evaluation is a prerequisite for systems that provide surveillance of animal populations. Scotland's Rural College Veterinary Services' Disease Surveillance Centre (DSC) network plays an integral part in surveillance to detect new and re-emerging threats within animal populations,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988905/ https://www.ncbi.nlm.nih.gov/pubmed/36896290 http://dx.doi.org/10.3389/fvets.2023.1099057 |
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author | Duncan, Andrew J. Eze, Jude I. Brülisauer, Franz Stirling, Julie M. Jennings, Amy Tongue, Sue C. |
author_facet | Duncan, Andrew J. Eze, Jude I. Brülisauer, Franz Stirling, Julie M. Jennings, Amy Tongue, Sue C. |
author_sort | Duncan, Andrew J. |
collection | PubMed |
description | Regular evaluation is a prerequisite for systems that provide surveillance of animal populations. Scotland's Rural College Veterinary Services' Disease Surveillance Centre (DSC) network plays an integral part in surveillance to detect new and re-emerging threats within animal populations, predominantly livestock. In response to surveillance reviews and proposed changes to the network, an initial evaluation of diagnostic submissions data in 2010 to mid-2012 established a baseline “footprint,” while highlighting challenges with the data. In this recent evaluation for the period 2013–2018, we developed a new denominator using a combination of agricultural census and movement data, to identify relevant holdings more accurately. Iterative discussions between those processing submissions data and those involved in collection at source took place to understand the intricacies of the data, establish the most appropriate dataset, and develop the processes required to optimise the data extraction and cleansing. The subsequent descriptive analysis identifies the number of diagnostic submissions, the number of unique holdings making submissions to the network and shows that both the surrounding geographic region of, and maximum distance to the closest DSC vary greatly between centres. Analysis of those submissions classed as farm animal post-mortems also highlights the effect of distance to the closest DSC. Whether specific differences between the time periods are due to changes in the behavior of the submitting holdings or the data extraction and cleaning processes was difficult to disentangle. However, with the improved techniques producing better data to work with, a new baseline footprint for the network has been created. This provides information that can help policy makers and surveillance providers make decisions about service provision and evaluate the impact of future changes. Additionally, the outputs of these analyses can provide feedback to those employed in the service, providing evidence of what they are achieving and why changes to data collection processes and ways of working are being made. In a different setting, other data will be available and different challenges may arise. However, the fundamental principles highlighted in these evaluations and the solutions developed should be of interest to any surveillance providers generating similar diagnostic data. |
format | Online Article Text |
id | pubmed-9988905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99889052023-03-08 Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached? Duncan, Andrew J. Eze, Jude I. Brülisauer, Franz Stirling, Julie M. Jennings, Amy Tongue, Sue C. Front Vet Sci Veterinary Science Regular evaluation is a prerequisite for systems that provide surveillance of animal populations. Scotland's Rural College Veterinary Services' Disease Surveillance Centre (DSC) network plays an integral part in surveillance to detect new and re-emerging threats within animal populations, predominantly livestock. In response to surveillance reviews and proposed changes to the network, an initial evaluation of diagnostic submissions data in 2010 to mid-2012 established a baseline “footprint,” while highlighting challenges with the data. In this recent evaluation for the period 2013–2018, we developed a new denominator using a combination of agricultural census and movement data, to identify relevant holdings more accurately. Iterative discussions between those processing submissions data and those involved in collection at source took place to understand the intricacies of the data, establish the most appropriate dataset, and develop the processes required to optimise the data extraction and cleansing. The subsequent descriptive analysis identifies the number of diagnostic submissions, the number of unique holdings making submissions to the network and shows that both the surrounding geographic region of, and maximum distance to the closest DSC vary greatly between centres. Analysis of those submissions classed as farm animal post-mortems also highlights the effect of distance to the closest DSC. Whether specific differences between the time periods are due to changes in the behavior of the submitting holdings or the data extraction and cleaning processes was difficult to disentangle. However, with the improved techniques producing better data to work with, a new baseline footprint for the network has been created. This provides information that can help policy makers and surveillance providers make decisions about service provision and evaluate the impact of future changes. Additionally, the outputs of these analyses can provide feedback to those employed in the service, providing evidence of what they are achieving and why changes to data collection processes and ways of working are being made. In a different setting, other data will be available and different challenges may arise. However, the fundamental principles highlighted in these evaluations and the solutions developed should be of interest to any surveillance providers generating similar diagnostic data. Frontiers Media S.A. 2023-02-21 /pmc/articles/PMC9988905/ /pubmed/36896290 http://dx.doi.org/10.3389/fvets.2023.1099057 Text en Copyright © 2023 Duncan, Eze, Brülisauer, Stirling, Jennings and Tongue. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science Duncan, Andrew J. Eze, Jude I. Brülisauer, Franz Stirling, Julie M. Jennings, Amy Tongue, Sue C. Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached? |
title | Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached? |
title_full | Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached? |
title_fullStr | Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached? |
title_full_unstemmed | Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached? |
title_short | Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached? |
title_sort | evaluations of the disease surveillance centre network in scotland: what parts has it reached? |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988905/ https://www.ncbi.nlm.nih.gov/pubmed/36896290 http://dx.doi.org/10.3389/fvets.2023.1099057 |
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